Fitness of computer vision machine learning in the regulatory framework for safety-related or risk-significant applications

Research output: Contribution to conference › Paper › peer-review

Original language	American English
State	Published - 2022
Event	16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022 - Honolulu, United States Duration: Jun 26 2022 → Jul 1 2022

Conference	16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022
Country/Territory	United States
City	Honolulu
Period	06/26/22 → 07/1/22

INL Publication Number

@conference{a5fa0743cb894023ab7e380818e89c1b,

title = "Fitness of computer vision machine learning in the regulatory framework for safety-related or risk-significant applications",

author = "\{Al Rashdan\}, Ahmad and Roman Shaffer and \{L. Quinn\}, Edward",

year = "2022",

language = "American English",

note = "16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022 ; Conference date: 26-06-2022 Through 01-07-2022",

}

Fitness of computer vision machine learning in the regulatory framework for safety-related or risk-significant applications. / Al Rashdan, Ahmad; Shaffer, Roman; L. Quinn, Edward.
2022. Paper presented at 16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022, Honolulu, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Fitness of computer vision machine learning in the regulatory framework for safety-related or risk-significant applications

AU - Al Rashdan, Ahmad

AU - Shaffer, Roman

AU - L. Quinn, Edward

PY - 2022

Y1 - 2022

M3 - Paper

T2 - 16th International Conference on Probabilistic Safety Assessment and Management, PSAM 2022

Y2 - 26 June 2022 through 1 July 2022

ER -